基于改进HHT的水中爆炸冲击波信号时频特性分析方法

摘要

根据水中爆炸冲击波信号的特征,利用希尔伯特-黄变换(HHT)处理非平稳信号的优势,提出了一种结合小波分解及相关系数筛选的改进HHT方法.该方法首先通过小波分解将信号分为高频部分和低频部分,然后利用相关系数对固有模态函数(IMF)分量进行筛选.理论与实践表明,改进的HHT方法能够有效、准确地对水中爆炸冲击波信号的时频信息进行分析.%Based on the characters of underwater explosion shock waves, an improved Hilbert-Huang transform (HHT) method was proposed by taking the advantage of HHT in processing non-stationary signals and combining wavelet decomposition and correlation coefficient filtering. In the improved HHT method, first signals are divided into high-frequency signals and low-frequency signals by wavelet decomposition, and then intrinsic mode function (IMF) components are filtered by correlation coefficients. Results show that the improved HHT method can be applied to effectively analyze the time-frequency information of underwater explosion shock wave signals.